A multi-objective strategy based on frontier-based approach and Fisher Information Matrix for autonomous exploration
暂无分享,去创建一个
[1] Kristine L. Bell,et al. A Lower Bound on the Estimation Error for Markov Processes , 2007 .
[2] Andrea Censi,et al. On achievable accuracy for pose tracking , 2009, 2009 IEEE International Conference on Robotics and Automation.
[3] Yong Wang,et al. Localizability estimation for mobile robots based on probabilistic grid map and its applications to localization , 2012, 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).
[4] Oliver Brock,et al. Sampling-Based Motion Planning With Sensing Uncertainty , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[5] Nicholas Roy,et al. RANGE - robust autonomous navigation in GPS-denied environments , 2010, 2010 IEEE International Conference on Robotics and Automation.
[6] Wang Yong,et al. Probabilistic Grid Map Based Localizability Estimation for Mobile Robots , 2013 .
[7] David Filliat,et al. Combined Vision and Frontier-Based Exploration Strategies for Semantic Mapping , 2011, CAR 2011.
[8] Alan C. Schultz,et al. Mobile robot exploration and map-building with continuous localization , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).
[9] Giuseppe Oriolo,et al. Frontier-Based Probabilistic Strategies for Sensor-Based Exploration , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[10] Andrea Censi,et al. On achievable accuracy for range-finder localization , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[11] Wolfram Burgard,et al. Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[12] Alexei Makarenko,et al. An experiment in integrated exploration , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[13] Sven Behnke,et al. Evaluating the Efficiency of Frontier-based Exploration Strategies , 2010, ISR/ROBOTIK.
[14] Steven M. LaValle,et al. Computing Smooth Feedback Plans Over Cylindrical Algebraic Decompositions , 2006, Robotics: Science and Systems.
[15] Lydia E. Kavraki,et al. Sampling-based motion planning with temporal goals , 2010, 2010 IEEE International Conference on Robotics and Automation.
[16] Nicholas Roy,et al. Planning in information space for a quadrotor helicopter in a GPS-denied environment , 2008, 2008 IEEE International Conference on Robotics and Automation.
[17] Héctor H. González-Baños,et al. Navigation Strategies for Exploring Indoor Environments , 2002, Int. J. Robotics Res..
[18] Sebastian Thrun,et al. Exploration in active learning , 1998 .
[19] Giuseppe Oriolo,et al. A Bayesian framework for optimal motion planning with uncertainty , 2008, 2008 IEEE International Conference on Robotics and Automation.
[20] Brian Yamauchi,et al. A frontier-based approach for autonomous exploration , 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.